Agent-based systems for telerehabilitation : strengths, limitations and future challenges

Calvaresi, Davide (Scuola Superiore Sant’Anna, Pisa, Italy) ; Schumacher, Michael (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Marinoni, Mauro (Scuola Superiore Sant’Anna, Pisa, Italy) ; Hilfiker, Roger (Universita Politecnica delle Marche, Ancona, Italy) ; Dragoni, Aldo F. (Universita Politecnica delle Marche, Ancona, Italy) ; Buttazzo, Giorgio (Scuola Superiore Sant’Anna, Pisa, Italy)

Telerehabilitation in older adults is most needed in the patient environments, rather than in formal ambulatories or hospitals. Sup-porting such practices brings significant advantages to patients, their family, formal and informal caregivers, clinicians, and researchers. Sev-eral techniques and technologies have been developed aiming at facilitat-ing and enhancing the effectiveness of telerehabilitation. This paper gives a quick overview of the state of the art, investigating video-based, wear-able, robotic, distributed, and gamified telerehabilitation solutions. In particular, agent-based solutions are analyzed and discussed addressing strength, limitations, and future challenges. Elaborating on functional requirements expressed by professional physiotherapists and researchers, the need for extending multi-agent systems (MAS) peculiarities at the sensing level in wearable solutions establishes new research challenges. Employed in cyber-physical scenarios with users-sensors and sensors-sensors interactions, MAS are requested to handle timing constraints, scarcity of resources and new communication means, which are crucial for providing real-time feedback and coaching.


Keywords:
Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
São Paulo, Brazil, 8-9 May 2017
Date:
São Paulo, Brazil
8-9 May 2017
2017
Pagination:
20 p.
Published in:
Proceedings of X Workshop on Agents Applied in Health Care, A2HC 2017
External resources:
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 Record created 2017-11-13, last modified 2019-06-11

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